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[2022-09-14] 오늘의 자연어처리 Stability of Syntactic Dialect Classification Over Space and Time This paper analyses the degree to which dialect classifiers based on syntactic representations remain stable over space and time. While previous work has shown that the combination of grammar induction and geospatial text classification produces robust dialect models, we do not know what influence both changing grammars and changi.. 2022. 9. 14.
[2022-09-13] 오늘의 자연어처리 Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction Emotion cause pair extraction (ECPE), as one of the derived subtasks of emotion cause analysis (ECA), shares rich inter-related features with emotion extraction (EE) and cause extraction (CE). Therefore EE and CE are frequently utilized as auxiliary tasks for better feature learning, modeled via multi-task l.. 2022. 9. 13.
[2022-09-12] 오늘의 자연어처리 IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model In this paper, we describe our shared task submissions for Subtask 2 in CASE-2022, Event Causality Identification with Casual News Corpus. The challenge focused on the automatic detection of all cause-effect-signal spans present in the sentence from news-media. We detect caus.. 2022. 9. 12.
[2022-09-11] 오늘의 자연어처리 Visual Grounding of Inter-lingual Word-Embeddings Visual grounding of Language aims at enriching textual representations of language with multiple sources of visual knowledge such as images and videos. Although visual grounding is an area of intense research, inter-lingual aspects of visual grounding have not received much attention. The present study investigates the inter-lingual visual ground.. 2022. 9. 11.
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